| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| import os |
| from os import path |
| from typing import List |
| |
| from pyspark.sql import DataFrame, SparkSession |
| from pyspark.sql.types import StructField, StructType |
| from shapely import wkt |
| |
| from sedona.spark.sql.types import GeometryType |
| |
| data_path = path.abspath(path.dirname(__file__)) |
| |
| |
| def create_sample_polygons_df( |
| spark: SparkSession, number_of_polygons: int |
| ) -> DataFrame: |
| return resource_file_to_dataframe(spark, "sample_polygons").limit( |
| number_of_polygons |
| ) |
| |
| |
| def create_sample_points_df(spark: SparkSession, number_of_points: int) -> DataFrame: |
| return resource_file_to_dataframe(spark, "sample_points").limit(number_of_points) |
| |
| |
| def create_simple_polygons_df( |
| spark: SparkSession, number_of_polygons: int |
| ) -> DataFrame: |
| return resource_file_to_dataframe(spark, "simple_polygons").limit( |
| number_of_polygons |
| ) |
| |
| |
| def create_sample_lines_df(spark: SparkSession, number_of_lines: int) -> DataFrame: |
| return resource_file_to_dataframe(spark, "sample_lines").limit(number_of_lines) |
| |
| |
| def create_sample_polygons(number_of_polygons: int) -> List: |
| return load_from_resources(data_path, "sample_polygons")[:number_of_polygons] |
| |
| |
| def create_sample_points(number_of_points: int) -> List: |
| return load_from_resources(data_path, "sample_points")[:number_of_points] |
| |
| |
| def create_simple_polygons(number_of_polygons: int) -> List: |
| return load_from_resources(data_path, "simple_polygons")[:number_of_polygons] |
| |
| |
| def create_sample_lines(number_of_lines: int) -> List: |
| return load_from_resources(data_path, "sample_lines")[:number_of_lines] |
| |
| |
| def resource_file_to_dataframe(spark: SparkSession, file_path: str) -> DataFrame: |
| geometries = load_from_resources(data_path, file_path) |
| schema = StructType([StructField("geom", GeometryType(), True)]) |
| return spark.createDataFrame([[el] for el in geometries], schema=schema) |
| |
| |
| def load_from_resources(data_path: str, file_path: str) -> List: |
| with open(os.path.join(data_path, file_path)) as file: |
| lines = list([line.strip() for line in file.readlines()]) |
| |
| return [wkt.loads(line) for line in lines] |